Self-Management of Adaptable Component-Based Applications

Rosa, Luı́s Guerra; Rodrigues, L.; Lopes, Antónia; Hiltunen, Matti; Schlichting, Richard D.

doi:10.1109/tse.2012.29

Cited by 32 publications

(14 citation statements)

References 24 publications

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“…The language was shown to have the ability to express sophisticated impact models, providing expressive and compact descriptions. Although there is an upfront investment in learning the notation and specifying these impact models compared to other approaches [17,5], the fact that we can model variability improves reusability (e.g., across systems sharing the same architectural style).…”

Section: Discussionmentioning

confidence: 99%

“…The benefits of the proposed impact models can be extended to other architecture-based approaches to self-adaptation that rely on impact models for adaptation decision-making such as [17] and [14].…”

Section: Discussionmentioning

confidence: 99%

“…Adaptation actions in this approach target service composition instances and the optimal criteria relies on impact models that are defined per adaptation action and system property as constant functions. Slightly more expressive impact models are considered in the approach presented [17], which targets component-based systems where impact models are defined per adaptation action and key performance indicators (KPIs), as functions over a given set of KPIs. These approaches address the specification of environment domain mod-els in a compositional way and at a very high level of abstraction, thus facilitating specification and promoting reuse.…”

Section: Related Workmentioning

confidence: 99%

“…Knowledge about the impact of adaptation choices on system's properties is particularly important when the decision process involves comparing alternative adaptations at runtime, as is often the case [11,5,17,14].…”

Section: Introductionmentioning

confidence: 99%

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Impact Models for Architecture-Based Self-adaptive Systems

Moreno

Lopes

Garlan

et al. 2015

Formal Aspects of Component Software

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Abstract. Self-adaptive systems have the ability to adapt their behavior to dynamic operation conditions. In reaction to changes in the environment, these systems determine the appropriate corrective actions based in part on information about which action will have the best impact on the system. Existing models used to describe the impact of adaptations are either unable to capture the underlying uncertainty and variability of such dynamic environments, or are not compositional and described at a level of abstraction too low to scale in terms of specification effort required for non-trivial systems. In this paper, we address these shortcomings by describing an approach to the specification of impact models based on architectural system descriptions, which at the same time allows us to represent both variability and uncertainty in the outcome of adaptations, hence improving the selection of the best corrective action. The core of our approach is an impact model language equipped with a formal semantics defined in terms of Discrete Time Markov Chains. To validate our approach, we show how employing our language can improve the accuracy of predictions used for decisionmaking in the Rainbow framework for architecture-based self-adaptation.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impact Models for Architecture-Based Self-adaptive Systems

Moreno

Lopes

Garlan

et al. 2015

Formal Aspects of Component Software

View full text Add to dashboard Cite

show abstract

“…A CA costuma lidar com esses problemas, por meio de seus aspectos de auto-gerenciamento. Segundo (ROSA et al, 2013), os softwares atuais (por exemplo: Apache HTTPd Server, Apache Tomcat, MySQL, VMs) oferecem diferentes recursos para configurar seu comportamento, incluindo módulos carregáveis e vários parâmetros configuráveis. Essas facilidades podem ser usadas adaptar o comportamento desses componentes do sistema mesmo em tempo de execução em resposta a mudanças no ambiente de execução.…”

Section: Motivação E Objetivosunclassified